Space training opportunities

627 training opportunities for the UK and European space sectors, last updated 8 October 2024. Curated by Space Skills Alliance.

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    Found 97 training opportunities

    Displaying opportunities 1 - 50 of 97 in total ·View all · Download results (CSV) · RSS feed for this search

    Space Domain Cybersecurity

    Short course (Online) by TSTI · POA

    This course examines the practical issues of developing and sustaining a secure cyber environment through all phases of the space mission lifecycle. The course is organized around the SPAce Domain Cybersecurity (SpaDoCs) Framework. The SpaDoCs Framework provides a comprehensive and systematic model for understanding and tackling all critical issues of cybersecurity in the space domain. An examination of the Key Objectives— confidentiality, integrity, availability—provides the foundation for the course. From there, the space domain is examined layer by layer starting from the enterprise layer, then drilling down through mission, system and DevSecOps layers. Threats and vulnerabilities at each layer are highlighted. Finally, first principles and key enablers of cybersecurity are woven into the discussion of system designs and cyber tactics and techniques. These technical threads help frame protection strategies and operational responses to the cybersecurity issues exposed by this course. Course exercises center around practical application of the material to real-world space mission scenarios. This course is designed for cybersecurity professional who want to understand the space domain, or space professionals who want to understand the cyber domain.

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    Space Domain Cybersecurity (SDC)

    Short course (Online) by KISPE · POA

    Space Domain Cybersecurity examines the practical issues of developing and sustaining a secure cyber environment through all phases of the space mission lifecycle.

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    Cubes & Clouds

    MOOC (Online) by European Space Agency (ESA) and EO College · Free

    This course teaches the concepts of data cubes, cloud platforms, and open science in the context of earth observation.

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    SPACE 300 – Adversary Space Capabilities I

    Course (Online) by Global Space University · POA

    Adversaries rely on a variety of integrated terrestrial, cyber, and space-based capabilities and equipment to deliver information, communications, and global awareness. The rapidly expanding commercial space industry provides low-cost space capabilities and options for nations and actors across the globe to enter a previously inaccessible domain. This course introduces the student to the who, what, and why regarding China, Russia, and commercial space programs. By examining the national objectives of both countries, their current and developing space- based capabilities, and commercial space endeavors, graduates of this course will have a firm understanding of the challenges and opportunities these doctrinally based capabilities pose to US and allied interests. This course examines Chinese, Russian, and commercial industry space capabilities: This course covers Chinese, Russian, and commercial industry space capabilities: National Objectives, Doctrine, and Organization; Space Lift; Space Domain Awareness; Intelligence, Surveillance and Reconnaissance; Position, Navigation and Timing; Satellite Communications; and Nuclear Detection, Environmental Monitoring, Missile Warning, and Missile Defense. (Prerequisite: Space 200)

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    ESC24 Space Cybersecurity

    Short course (Glasgow) by International Space University (ISU) · €2200 (~£1865)

    The first Executive Space Course to be offered in Scotland by the International Space University (ISU) will be hosted and developed in partnership with the Strathclyde Business School. This program will have cybersecurity as its central theme.

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    MSc in Space Science and Technology

    Course (Online) by Open University · £8,025–£8,765

    This qualification looks at space science and the technology that underpins it. Developed in consultation with the UK Space Agency and the space industry, it’s suitable for developing a career in the space sector. This MSc will equip you with the skills to carry out individual and team scientific investigations using space-based instrumentation. In addition, you’ll learn how to use a programming language for space science applications and develop skills relevant to further research or employment in the space sector. You’ll also conduct an in-depth research project in space science or technology.

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    Beyond the Visible – EnMAP data access and image preprocessing techniques

    MOOC (Online) by EO College and European Space Agency (ESA) · Free

    In this course, you will learn the principles of hyperspectral image preprocessing and how this workflow is reflected in EnMAP products, get to know the German hyperspectral mission EnMAP in much more detail, and see how you can access EnMAP data, and order new acquisitions. No matter if you are a student or a professional or whatever continent you are from, this course was designed for you and we hope to provide some helpful background information, process understanding and guidance on how to access the world as seen by EnMAP.

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    TechTalent Space Academy

    Course (Online) by TechTalent · £9500

    Join the TechTalent Space Academy and embark on a transformative journey into the exciting world of SpaceTech. Our comprehensive 12-week program is designed to equip aspiring professionals with the skills and knowledge needed to excel in the space industry. Through our partnerships with leading space-led companies, we provide successful applicants with a unique opportunity to gain hands-on experience and secure a future career in the field.

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    Dare to discover data assimilation (data assimilation minus the maths)

    Short course (Online) by National Centre for Earth Observation (NCEO) and University of Reading · Free

    This free course provides an introduction to the basic concepts of data assimilation without assuming a background in mathematical concepts or any specialist subject knowledge. It will be particularly useful to users of data assimilation products (e.g., reanalyses) or those who are interested in exploring the possibilities of data assimilation for new applications.

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    Data assimilation training @ Univ. of Reading 2024

    Short course (Reading) by Data Assimilation Research Centre and National Centre for Earth Observation (NCEO) · Free

    Each year DARC and NCEO offer in-person training on data assimilation. The intensive week-long course introduces the commonly used data assimilation algorithms derived from a common framework and explores the strengths and weaknesses of each approach. The theoretical lectures are complemented by practical sessions allowing participants to obtain hands-on experience of the concepts covered.

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    Space * ASTROBIOLOGY

    Short course (Strasbourg) by International Space University (ISU) · €2000 (~£1695)

    Astrobiology is the interdisciplinary study of life in the universe and touches on some of the most profound questions in both science and philosophy. How and when did life on Earth emerge from a ‘pool of organic molecules’? Is there life on Mars, extant or extinct? Could other bodies in the solar system harbor life, e.g. Enceladus, Titan and Europa? Do intelligent civilizations exist elsewhere in our galaxy? All of these questions – and many more – will be addressed in ISU’s 7th annual Astrobiology Elective (April 11-21, 2023). The Elective will welcome some of the finest Astrobiologists in the world, e.g. Dr. Christopher P. McKay (NASA Ames Research Center), Dr. Frances Westall (Director Emeritus of the CNRS Exobiology Group, Orléans) and Dr. Joseph A. Nuth, III (NASA Goddard Space Flight Center). The program will highlight current and future astrobiology missions, e.g. Martian rovers such as Perseverance and its successors. The Elective will consist of presentations, roundtable discussions, workshops, and a field trip devoted to collecting and analyzing magnetotactic bacteria. The single deliverable will be a group White Paper, of which there will be four offered. In the past, they have included topics such as, “The potential of the Canadian Arctic for Astrobiology research”, and “Artificial Intelligence (AI) as a Biomarker for the Astrobiology Community”.

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    Space Weather Training Course

    Short course (Belgium) by European Space Agency (ESA) · Past · Free

    ESA intends to provide students with an overview and introduction to the space weather domain from a range of perspectives. This will include scientific and technological fundamentals, space weather monitoring, forecasting, modelling, and understanding of its technological impacts along with an outlook toward the domain’s evolution in the future.

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    Earth Observation & Geospatial Analysis: from satellite to end-user

    Short course (Online) by Spaceway · Past · €179 (~£152)

    This Crash Course has the goal of providing the participants with knowledge in Earth Observation, from satellite to image to information delivery with application to agriculture and biodiversity. You will learn about remote sensing techniques, geospatial analysis, GIS, Big Data, Machine Learning, Artificial Intelligence, and all the potential value of these technologies for Earth applications.

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    Modeling Forest Aboveground Biomass using EO Data and Machine Learning: Challenges and Opportunities

    MOOC (Online) by AI.Geolabs · Free

    Miombo woodland ecosystems (in Africa) play a vital role in the global carbon cycle, however, it is currently difficult to know how much carbon they store and sequester due to a lack of data. Therefore, an accurate estimation of forest above ground biomass (AGB) is required to provide the baseline of forest carbon stocks and quantify the anthropogenic emissions caused by deforestation and forest degradation. In addition, accurate estimation of forest AGB is critical to implementing cost-effective carbon emission mitigation strategies.

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    Custom Scripts

    Resource (Online) by Sentinel Hub · Free

    Use custom scripts to create useful and beautiful satellite visualizations in EO Browser. Visit our friendly tutorial for complete beginners and learn how to create custom color composites, implement remote sensing indices and use custom color scales to display the phenomena of your interest in an informative and appealing way.

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    EO Methods and Data

    Resource (Online) by Sentinel Hub · Free

    If you’re a beginner in remote sensing or just starting out with Sentinel Hub, check out our short video course on remote sensing essentials with a comprehensive overview of common use cases and tools. This is a great introduction to what you can do with Sentinel Hub, touching on scripting, EO Browser, API, and even machine learning!

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    Time-Lapses

    Resource (Online) by Sentinel Hub · Free

    Have you ever wanted to make a cool time-lapse of a certain location, but there were clouds in a way? Or the area was too large to process at once? Read our guide for creating animations from different data collections obtained via Sentinel Hub services and follow along with the provided Jupyter Notebook.

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    Geospatial Machine Learning for Mapping Urban Land Cover in Earth Engine

    MOOC (Online) by AI.Geolabs · Free

    The purpose of this course is to explore Sentinel-2 and Sentinel-1 image collection in GEE. We will compile quarterly multi-seasonal Sentinel-2 and Sentinel-1 imagery collection scenes acquired between January and October 2020. Quarterly multi-seasonal composite imagery comprises composites for the rainy (January – March), post-rainy (April-June), and dry season (July-October) for Harare, which is going to be the case study.

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    Deep Learning for Mapping

    MOOC (Online) by AI.Geolabs · Free

    This course provides guidelines on implementing deep learning-based semantic segmentation to detect or map urban features such as building footprints and roads. We are going to use VHR imagery for mapping the urban elements. This course consists of two labs. Lab 1 will focus on instance segmentation using Mask-RCNN on a local machine (CPU or GPU), while lab two will focus on instance segmentation using Mask-RCNN on a Google Colab.

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    Getting started with JASMIN

    Resource (Online) by Centre for Environmental Data Analysis (CEDA) · Free

    This webinar focussed on how new users can ‘get started’ on JASMIN, a globally unique data intensive supercomputer for environmental science.

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    Index Tool

    Resource (Online) by Sentinel Hub · Free

    The Index tool has a user friendly interface for creating and visualizing satellite indices by dragging and dropping bands into the equation and setting up custom visualizations with just a couple of clicks. This guide will show you how to use the feature, which options you have available and how to fine-tune your visualization.

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    Data-centric Explainable Machine Learning for Land Cover Mapping

    MOOC (Online) by AI.Geolabs · Free

    In this course, explainable machine learning refers to the extent to which the underlying mechanism of a machine learning model can be explained (Biecek and Burzykowski 2020). That is, explainable machine learning models allow us (humans) to explain what the model learned and how it made predictions (post-hoc). Note this is different from interpretable machine learning (e.g., linear and logistic regression models), which refers to the extent to which a cause and effect are observed within a model (Molnar 2019).

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    Climate data analysis with python

    Short course (Online) by UK Centre for Ecology & Hydrology · £99

    This on-demand course has 11 sessions with 6 exercises and 14 videos. It is an introductory level course to help you plot, manipulate and analyse NetCDF climate data using python. The course focuses on gridded climate model outputs. You can easily extend the concepts and techniques taught to other forms of NetCDF data (e.g. observations). Requirements: The total learning time is approximately one day.

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    Transforming Environmental Data in R

    Short course (Online) by UK Centre for Ecology & Hydrology · £549

    This 2-day interactive online course will help you understand the benefits of data transformation tools (such as R). The course also includes an "Introduction to R" session for those not familiar with the software.

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    Approaches to software development

    MOOC (Online) by Open University · Free

    This free course, Approaches to software development, presents an engineering approach to the development of software systems – a software engineering approach. The course pays particular attention to issues of software quality, in terms of both product (what is built) and process (how we build it).

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    EO Imager Design

    Short course (Guildford) by SSTL · POA

    The course gives the core fundamental knowledge to be able to understand the design of Earth Observation instruments and the processing of their data. It talks about optical, mechanical and electronic aspects of the EO imager design.

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    Spatial analysis in QGIS and R - An Introduction for Environmental Scientists

    Short course (Online, Wallingford, and Lancaster) by UK Centre for Ecology & Hydrology · £449

    Running over four half-day sessions, this hands-on and interactive online course will give you an introduction to spatial data analysis in an open-source environment. The course will focus on the use of QGIS and R as well as providing a theoretical background to working with spatial data and Geographical Information Systems (GIS). This is a beginner's course for spatial analysis and QGIS. Basic knowledge of R is beneficial.

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    An introduction to software development

    MOOC (Online) by Open University · Free

    Software development is the practice of organising the design and construction of software, the beating heart of much technology fundamental to our personal and professional life. This free introductory course, An introduction to software development, discusses the engineering nature of software development, its challenges and some fundamental practices which have developed to meet them. Software development is a fast-moving discipline and as a software development professional you must be able to track its leading edge. The course also teaches you some fundamental skills to help you interact with the growing published academic and professional literature on the subject.

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    GIS, Mapping, and Spatial Analysis Specialization

    MOOC (Online) by Coursera and University of Toronto · Free

    This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.

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    ArcGIS with Python Scripting

    Workshop (Online, Bristol, and Bath) by NobleProg · £2400-3200

    This instructor-led, live training in Bristol (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes. By the end of this training, participants will be able to: - Build GIS applications using Python and ArcGIS tools. - Develop with the ArcGIS package ArcPy, using Python. - Apply the ArcGIS modules for map automation using object classes in Python.

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    Python for Geographic Information System (GIS)

    Workshop (Online, Bristol, and Bath) by NobleProg · £3900-5100

    A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers. This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.

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    Esri Academy

    Resource (Online) by Esri · Free

    Whether you’re brand-new to ArcGIS or a seasoned GIS professional who wants to master the latest technology, we have resources to help you achieve your goals.

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    QGIS for Geographic Information System

    Workshop (Online, Bristol, and Bath) by NobleProg · £3900-5100

    A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD. This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality

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    An introduction to librat: a Monte Carlo ray tracing radiative transfer model

    Resource (Online) by National Centre for Earth Observation (NCEO) · Free

    librat is a flexible, modular radiative transfer model for simulating the lidar return of realistic 3D scenes.

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    Winter-Water-Warming: Canadian SAR Applications

    MOOC (Online) by European Space Agency (ESA) and EO College · Free

    In this course, we will introduce you to how Canadians research, develop and utilize radar remote sensing technology for mapping and environmental monitoring. In five brief lessons, you will learn about early developments of radar leading to the Canadian RADARSAT program and how Canadian government researchers and managers are currently using satellite radar data in their day-to-day work. After completing this course you will have a better understanding of Canada’s practical needs for and know-how of satellite radar when it comes to meeting the challenges of winter, water, and warming in a very large country.

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    Imagery in Action

    MOOC (Online) by Esri · Free

    Transform pixels into powerful insights. This course is for anyone who wants to learn—or learn more—about the many uses of imagery, the many types of imagery, and the rapidly growing integration of imagery with GIS. Explore cutting-edge imagery applications and advanced tools to extract information from imagery and remotely sensed data. Course exercises guide you through the steps to tackle essential imagery workflows using the latest ArcGIS desktop and cloud-based apps.

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    Spatial Data Science: The New Frontier in Analytics

    MOOC (Online) by Esri · Free

    Use location to find patterns and tackle complex problems. Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses.

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    ArcGIS Pro for Spatial Analysis

    Workshop (Online, Bristol, and Bath) by NobleProg · £2400-3200

    By the end of this training, participants will be able to: - Understanding GIS concepts and spatial data types using the latest version of ArcGIS Pro. - Investigate the user interface and evaluate the uses - Explore ArcGIS* Pro and how to utilize online content - Manage, manipulate and analyze your own data - Display and share your data in a meaningful and creative way Note: We will use the latest version of ArcGIS Pro.

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    Variational Methods in Data Assimilation

    Resource (Online) by National Centre for Earth Observation (NCEO) · Free

    This training is to help you learn about variational methods used in weather forecasting.

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    Earth Observation: Disruptive Technology and New Space

    MOOC (Online) by European Space Agency (ESA) and Imperative Space · Free

    This is a short MOOC from ESA which consists of a series of interviews with leading experts across Earth Observation and related technologies. This MOOC also acts as an additional section for the 'Earth Observation from Space: The Optical View' MOOC. The explosion in Earth Observation (EO) data from the Sentinel programme, a new generation of commercial satellites, and emerging constellations of small-sats, has created one of the greatest ‘big data’ challenges in the world today. In this course you will explore technologies such as AI, 3D data visualisation, cloud computing technologies and blockchain, and learn how they are meeting the needs of the ever growing data analytics and data navigation challenges in EO. This short course now includes an extra module on how ESA is responding to the digital trends highlighted in previous modules, and the real-world impact emerging from ESA's Phi innovation strategy.

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    The Equivalent Weights Particle Filter - for data assimilation

    Resource (Online) by National Centre for Earth Observation (NCEO) · Free

    An online training course providing an introduction to Particle Filters and theory for the Equivalent Weights Particle Filter.

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    Agricultural Crop Classification with Synthetic Aperture Radar and Optical Remote Sensing

    Seminar (Online) by European Space Agency (ESA) · Free

    This five-part, intermediate webinar series focused on the use of synthetic aperture radar (SAR) from Sentinel-1 and/or optical imagery from Sentinel-2 to map crop types and assessed their biophysical characteristics. The webinar covered a SAR and optical refresher along with pre-processing and analysis of Sentinel-1 and Sentinel-2 data using the Sentinel Application Platform (SNAP) and Python code written in JupyterLab, a web-based interactive development environment for scientific computing and machine learning. The webinar also covered an operational roadmap for mapping crop type, including best practices for collecting field data to train and validate models for classifying crops on a national level. The final session of this series covered crop biophysical variable retrievals using optical data.

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    Land in Focus – Hazards & Disasters

    MOOC (Online) by European Space Agency (ESA) and EO College · Free

    Welcome to the ‘Hazards and Disasters’ online courses. In the three MOOCs which are part of it, we will take a closer look at how remote sensing can answer essential questions related to the emergency response that is needed during hazardous events. Thus, disaster management heavily relies on remotely sensed data and their prompt processing in order to support decisions that can a) estimate the extent of a (natural) disaster and b) save lives by scientifically justifiable choices. In the three lessons of this course, we will present different applications of remotely sensed data for disaster monitoring to you. At first, we will take a look at droughts, then dive into mapping flood extents using an interactive cloud-based approach before ending our course with the monitoring of fire hazards.

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    Transform AEC Projects with GIS and BIM

    MOOC (Online) by Esri · Free

    Infuse geographic context into the entire project life cycle. Discover what's possible when you integrate computer-aided design (CAD) data and building information models (BIM) with geographic information systems (GIS) technology. This course is for GIS and architecture, engineering, and construction (AEC) professionals and anyone else who wants to improve project decision-making, gain critical insights, and deliver more sustainable infrastructure, more efficiently. You'll explore powerful GIS visualization and spatial analysis capabilities and see firsthand how location-based insight enhances each phase of the project life cycle—from planning and design to construction and ongoing operations.

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    Cartography

    MOOC (Online) by Esri · Free

    Learn from experts and make beautiful maps using ArcGIS Pro. Once, only cartographers made maps. Today, anyone can. Still, cartographers can teach people to make better maps, just as chefs can show people how to prepare better meals. With coaching from accomplished cartographers and practical, hands-on exercises, you'll become a smarter mapmaker, ready to go beyond the defaults and produce engaging maps that communicate with impact.

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    ArcGIS for Spatial Analysis

    Workshop (Online, Bristol, and Bath) by NobleProg · £2400-3200

    This instructor-led, live training in Bristol (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS. By the end of this training, participants will be able to: - Output spatial data as visualizations. - Conduct geostatics on actual data. - Implement spatial data analysis, data processing, and mapping with ArcGIS. - Analyze spatial data for projects in ArcGIS.

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    Digitalisation in Aeronautics and Space Specialization

    MOOC (Online) by Coursera and Technische Universität München (TUM) · Free

    Digital transformations in the field of aerospace. In this specialisation series you will understand the impact digitalisation has on aerospace science and the resulting changes.

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    Going Places with Spatial Analysis

    MOOC (Online) by Esri · Free

    Gain a deeper understanding of spatial data analysis. This course is for people who know something about data analysis and want to learn how the special capabilities of spatial data analysis provide deeper understanding. You'll get free access to the full analytical capabilities of ArcGIS Online, Esri's cloud-based mapping and analytics platform.

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    Do-It-Yourself Geo Apps

    MOOC (Online) by Esri · Free

    Anyone can build apps with ArcGIS. You don't have to be a software developer to build valuable geo-enabled apps that make your communities smarter and businesses more successful. Learn how to combine location and narrative in one application to better communicate and broadcast your story, create custom web applications that solve problems in your community, and build powerful native applications for iOS and Android devices without touching a piece of code. If you are a developer, you'll be interested in Esri's APIs, tools, and the buzzing ArcGIS developer community.

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    Google Maps API for Developers

    Workshop (Online, Bristol, and Bath) by NobleProg · £2400-3200

    This instructor-led, live training in Bristol (online or onsite) is aimed at developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps. By the end of this training, participants will be able to: - Embed a map into a new or existing website or web application. - Display live data that synchs with current location. - Create a mashup that includes Google Maps. - Apply good CSS and JavaScript coding practices - Create a custom map for an application.

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    Displaying opportunities 1 - 50 of 97 in total